| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 |
| Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy | Jan 24, 2022 | ClassificationFairness | CodeCode Available | 1 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 |
| Learning Fair Node Representations with Graph Counterfactual Fairness | Jan 10, 2022 | Attributecounterfactual | CodeCode Available | 1 |
| AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models | Jan 7, 2022 | Fairness | CodeCode Available | 1 |
| AutoBalance: Optimized Loss Functions for Imbalanced Data | Jan 4, 2022 | Data AugmentationFairness | CodeCode Available | 1 |
| Towards Fair Recommendation in Two-Sided Platforms | Dec 26, 2021 | FairnessVocal Bursts Valence Prediction | CodeCode Available | 1 |
| Learning Fair Classifiers with Partially Annotated Group Labels | Nov 29, 2021 | Fairness | CodeCode Available | 1 |
| Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes | Nov 29, 2021 | FairnessImage Classification | CodeCode Available | 1 |
| Latent Space Smoothing for Individually Fair Representations | Nov 26, 2021 | FairnessRepresentation Learning | CodeCode Available | 1 |
